Triple

T2810032
Position Surface form Disambiguated ID Type / Status
Subject Kendall/MIT station E54144 entity
Predicate hasFormerName P65 FINISHED
Object Kendall E286594 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kendall | Statement: [Kendall/MIT station, hasFormerName, Kendall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kendall
Context triple: [Kendall/MIT station, hasFormerName, Kendall]
  • A. Kendall
    Kendall is a unisex given name of English origin commonly used in the United States and other English-speaking countries.
  • B. Kendall chosen
    Kendall is a neighborhood in Cambridge, Massachusetts, known for its proximity to MIT and its concentration of technology companies and research institutions.
  • C. Kendall Nesbitt
    Kendall Nesbitt is a fictional character from the musical "Lady in the Dark," typically portrayed as a sophisticated romantic interest entangled in the protagonist's emotional and psychological journey.
  • D. Kendall Vanhook Bumpass
    Kendall Vanhook Bumpass was a 19th-century cowboy and guide whose accidental injury in Lassen Peak’s geothermal area led to the site being named Bumpass Hell in his memory.
  • E. Carley Knox
    Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde335b38819090c70d5e2ca14d79 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce9a76388190a5dce756de2eb59f completed March 10, 2026, 7:56 a.m.
Created at: March 6, 2026, 9:59 p.m.